DataStax Enterprise 5.0 Analytics includes integration with Apache Spark. Starting with this version Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated.

You can run analytics on Cassandra data using Hadoop that is integrated into DataStax Enterprise. The Hadoop component
in DataStax Enterprise enables analytics to be run across the DataStax Enterprise distributed, shared-nothing architecture.
Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated.

Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated. DSE Hadoop enables analytics to be run across DataStax Enterprise's distributed, shared-nothing architecture. Instead
of using the Hadoop Distributed File System (HDFS), DataStax Enterprise uses Cassandra File System (CFS) keyspaces
for the underlying storage layer.

Steps to run a tutorial for the Hadoop component that is integrated into DataStax Enterprise to create and manage
a portfolio of stocks. Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated.

DataStax Enterprise 5.0 Analytics includes integration with Apache Spark. Starting with this version Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated.

Use DSE Analytics to analyze huge databases. DSE Analytics includes integration with Apache Spark. BYOH (bring
your own Hadoop) and DSE Hadoop are deprecated for use with DataStax Enterprise and will be removed in DataStax
Enterprise 5.1.

You can run analytics on Cassandra data using Hadoop that is integrated into DataStax Enterprise. The Hadoop component
in DataStax Enterprise enables analytics to be run across the DataStax Enterprise distributed, shared-nothing architecture.
Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated.

Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated. DSE Hadoop enables analytics to be run across DataStax Enterprise's distributed, shared-nothing architecture. Instead
of using the Hadoop Distributed File System (HDFS), DataStax Enterprise uses Cassandra File System (CFS) keyspaces
for the underlying storage layer.

Add the HADOOP_LOG_DIR environment variable to the dse-env.sh file to recognize changes to the default log directory used by DSE Hadoop (the Hadoop component that is integrated
into DataStax Enterprise).

Steps to run a tutorial for the Hadoop component that is integrated into DataStax Enterprise to create and manage
a portfolio of stocks. Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated.

Common Hadoop commands perform functions in the Cassandra File System (CFS) that correspond to open source, HDFS file system
shell commands. Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop and BYOH (Bring Your Own Hadoop) are also
deprecated.

Use Hive with DSE Hadoop to eliminate boilerplate MapReduce code and enjoy productivity gains. DataStax Enterprise
includes a Cassandra-enabled Hive MapReduce client. Use Hive to query Cassandra data using an SQL-like language called
HiveQL.

Portfolio Manager demo using DSE Hadoop (deprecated)

Steps to run a tutorial for the Hadoop component that is integrated into DataStax
Enterprise to create and manage a portfolio of stocks. Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop
and BYOH (Bring Your Own Hadoop) are also deprecated.

Note:Hadoop is deprecated for use with DataStax Enterprise. DSE Hadoop
and BYOH (Bring Your Own Hadoop) are also deprecated.

The use case is a financial
application where users can actively create and manage a portfolio of stocks. On the
Cassandra OLTP (online transaction processing) side, each portfolio contains a list
of stocks, the number of shares purchased, and the purchase price. The demo's pricer
utility simulates real-time stock data where each portfolio updates based on its
overall value and the percentage of gain or loss compared to the purchase price.
This utility also generates 100 days of historical market data (the end-of-day
price) for each stock. On the DSE OLAP (online analytical processing) side, a Hive
MapReduce job calculates the greatest historical 10 day loss period for each
portfolio, which is an indicator of the risk associated with a portfolio. This
information is then fed back into the real-time application to allow customers to
better gauge their potential losses.

Procedure

To run the demo:

Note: DataStax Demos do not work with either
LDAP or internal authorization (username/password) enabled.

Install a single Demo node using the DataStax Installer in GUI or Text mode with the following
settings:

Install Options page - Default
Interface: 127.0.0.1 (You must use this IP for the
demo.)